892 research outputs found

    Contingency management to reduce methamphetamine use and sexual risk among men who have sex with men: a randomized controlled trial

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    <p>Abstract</p> <p>Background</p> <p>Methamphetamine use is associated with HIV acquisition and transmission among men who have sex with men (MSM). Contingency management (CM), providing positive reinforcement for drug abstinence and withholding reinforcement when abstinence is not demonstrated, may facilitate reduced methamphetamine use and sexual risk. We compared CM as a stand-alone intervention to a minimal intervention control to assess the feasibility of conducting a larger, more definitive trial of CM; to define the frequency of behavioral outcomes to power such a trial; and, to compute preliminary estimates of CM's effectiveness.</p> <p>Methods</p> <p>We randomly assigned 127 MSM from Seattle, WA who use methamphetamine to receive a 12-week CM intervention (n = 70) or referral to community resources (n = 57).</p> <p>Results</p> <p>Retention at 24 weeks was 84%. Comparing consecutive study visits, non-concordant UAI declined significantly in both study arms. During the intervention, CM and control participants were comparably likely to provide urine samples containing methamphetamine (adjusted relative risk [aRR] = 1.09; 95%CI: 0.71, 1.56) and to report non-concordant UAI (aRR = 0.80; 95%CI: 0.47, 1.35). However, during post-intervention follow-up, CM participants were somewhat more likely to provide urine samples containing methamphetamine than control participants (aRR = 1.21; 95%CI: 0.95, 1.54, <it>P </it>= 0.11). Compared to control participants, CM participants were significantly more likely to report weekly or more frequent methamphetamine use and use of more than eight quarters of methamphetamine during the intervention and post-intervention periods.</p> <p>Conclusions</p> <p>While it is possible to enroll and retain MSM who use methamphetamine in a trial of CM conducted outside drug treatment, our data suggest that CM is not likely to have a large, sustained effect on methamphetamine use.</p> <p>Trial Registration</p> <p>ClinicalTrials.gov Identifier <b>NCT01174654</b></p

    Frequency of HIV testing among gay and bisexual men in the UK: implications for HIV prevention

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    Objectives: The aim of the study was to explore HIV testing frequency among UK men who have sex with men (MSM) in order to direct intervention development. Methods: Cross-sectional surveys were completed by 2409 MSM in Edinburgh, Glasgow and London in 2011 and a Scotland-wide online survey was carried out in 2012/13. The frequency of HIV testing in the last 2 years was measured. Results: Overall, 21.2% of respondents reported at least four HIV tests and 33.7% reported two or three tests in the last 2 years, so we estimate that 54.9% test annually. Men reporting at least four HIV tests were younger and less likely to be surveyed in London. They were more likely to report higher numbers of sexual and anal intercourse partners, but not “higher risk” unprotected anal intercourse (UAI) with at least two partners, casual partners and/or unknown/discordant status partners in the previous 12 months. Only 26.7% (238 of 893) of men reporting higher risk UAI reported at least four tests. Among all testers (n = 2009), 56.7% tested as part of a regular sexual health check and 35.5% tested following a risk event. Differences were observed between surveys, and those testing in response to a risk event were more likely to report higher risk UAI. Conclusions: Guidelines recommend that all MSM test annually and those at “higher risk” test more frequently, but our findings suggest neither recommendation is being met. Additional efforts are required to increase testing frequency and harness the opportunities provided by biomedical HIV prevention. Regional, demographic and behavioural differences and variations in the risk profiles of testers suggest that it is unlikely that a “one size fits all” approach to increasing the frequency of testing will be successful

    AIDS Behav

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    There is no gold standard for recruiting unbiased samples of men who have sex with men (MSM). To assess differing recruitment methods, we compared Seattle-area MSM samples from: venue-day-time sampling-based National HIV Behavioral Surveillance (NHBS) surveys in 2008 and 2011, random-digit-dialed (RDD) surveys in 2003 and 2006, and STD clinic patient data 2001-2011. We compared sociodemographics, sexual and drug-associated behavior, and HIV status and testing. There was generally good consistency between the two NHBS surveys and within STD clinic data across time. NHBS participants reported higher levels of drug-associated and lower levels of sexual risk than STD clinic patients. RDD participants differed from the other study populations in sociodemographics and some risk behaviors. While neither NHBS nor the STD clinic study populations may be representative of all MSM, both appear to provide consistent samples of MSM subpopulations across time that can provide useful information to guide HIV prevention.1 R03 DA031072-01A1/DA/NIDA NIH HHS/United States1U1BPS003250/PHS HHS/United States5U62PS000969/PS/NCHHSTP CDC HHS/United StatesP30 AI027757/AI/NIAID NIH HHS/United StatesP30AI027757/AI/NIAID NIH HHS/United StatesR03 DA031072/DA/NIDA NIH HHS/United States2015-04-01T00:00:00

    A Synthesis of 20 Years of Research on Sexual Risk Taking among Asian/Pacific Islander Men Who Have Sex with Men in Western Countries

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    Over the past two decades, there has emerged a body of literature documenting a number of risk factors associated with Asian/Pacific Islander men who have sex with men’s unsafe sexual behaviors. This study aims to systematically review existing empirical studies and synthesize research results into a social–ecological framework using a mixed research synthesis. Empirical research articles published in peer-reviewed journals between January 1990 and June 2013 were identified in six databases, including PubMed, Ovid MEDLINE, PsycINFO, Social Work Abstract, CINAL, and Web of Knowledge. Both quantitative and qualitative studies were included. Two analysts independently reviewed the articles, and findings were organized on a social–ecological framework. Twenty-two articles were included in the analysis; among these 13 were quantitative, 8 were qualitative, and 1 was mixed-methods research. Results indicated that demographic characteristics, psychological resources, behavioral patterns, relationships with family and friends, dynamics with romantic or sexual partners, community involvement, culture, discrimination, and institutional factors were related to unprotected anal intercourse. This article presents a critique of this literature and discusses implications for future research with this population. It concludes with prevention/intervention initiatives based on review findings

    State-Space Inference and Learning with Gaussian Processes

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    State-space inference and learning with Gaussian processes (GPs) is an unsolved problem. We propose a new, general methodology for inference and learning in nonlinear state-space models that are described probabilistically by non-parametric GP models. We apply the expectation maximization algorithm to iterate between inference in the latent state-space and learning the parameters of the underlying GP dynamics model. Copyright 2010 by the authors

    Estimating the effect of joint interventions from observational data in sparse high-dimensional settings

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    We consider the estimation of joint causal effects from observational data. In particular, we propose new methods to estimate the effect of multiple simultaneous interventions (e.g., multiple gene knockouts), under the assumption that the observational data come from an unknown linear structural equation model with independent errors. We derive asymptotic variances of our estimators when the underlying causal structure is partly known, as well as high-dimensional consistency when the causal structure is fully unknown and the joint distribution is multivariate Gaussian. We also propose a generalization of our methodology to the class of nonparanormal distributions. We evaluate the estimators in simulation studies and also illustrate them on data from the DREAM4 challenge.Comment: 30 pages, 3 figures, 45 pages supplemen
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